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DOI | 10.1007/s11069-020-04153-y |
Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio de Janeiro (Brazil) | |
da Silva F.P.; Rotunno Filho O.C.; Justi da Silva M.G.A.; Sampaio R.J.; Pires G.D.; de Araújo A.A.M. | |
发表日期 | 2020 |
ISSN | 0921030X |
起始页码 | 3745 |
结束页码 | 3764 |
卷号 | 103期号:3 |
英文摘要 | Heavy rainfall events can result in natural disasters and cause innumerous impacts on society. These consequences can be mitigated by preventive measures applications which are interdisciplinary and integrated areas of study. From the meteorological point of view, preventive measures can be aided by better knowledge of extreme phenomena, the atmospheric patterns related and their monitoring by operational forecasters. The Petropolis city, located in a mountainous region Rio de Janeiro state, Brazil, is prone to heavy rainfall events, leading to the River flooding, and in the extreme events the simultaneously landslides occurrence and loss of life. In that context, this study endeavored to characterize the rainfall and atmospheric parameters which triggered heavy rainfall records and the corresponding Quitandinha River flooding episodes. More specifically, we analyzed events from the time period between January 2013 and December 2014 using observational, reanalysis and radar data. We hope that the overall obtained results could provide quantitative and qualitative aid to the operational forecasters and also the decision makers. We noticed that categorized flooding events mostly related to the South Atlantic Convergence Zone (SACZ) configurations and frontal systems (FS) passage, with a smaller percentage related to local convective storms (CS). The clustering analyses indicated three groups of homogenous precipitation, with higher values over the downstream region progressively decreasing in the upstream direction. The atmospheric parameters showed a pattern of wind change direction in the lower atmospheric levels, a vertical dynamic coupling and moisture availability to support the heavy rainfall development. © 2020, Springer Nature B.V. |
关键词 | Clustering analysisFloodingQuitandinha RiverRainfall |
英文关键词 | convective system; extreme event; flood forecasting; flooding; identification method; mountain region; precipitation intensity; rainfall; regional climate; weather forecasting; wind direction; Brazil; Petropolis; Rio de Janeiro [Brazil] |
语种 | 英语 |
来源期刊 | Natural Hazards
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/205643 |
作者单位 | Civil Engineering Program, Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering - COPPE, Universidade Federal do Rio de Janeiro - UFRJ, Avenida Horácio Macedo, 2020 – Cidade Universitária, Rio de Janeiro, RJ 21945-970, Brazil; Meteorology Laboratory, Science and Technology Center, Universidade Estadual do Norte Fluminense Darcy Ribeiro - UENF, Avenida Brenand, s.n., Imboassica, Macaé, RJ 27925-535, Brazil; Engineering and Society Group, Exact Sciences and Technologies School, Universidade Iguaçu - UNIG, Av. Abílio Augusto Távora, 2134 - Jardim Nova Era, Nova Iguaçu, RJ 26275-580, Brazil; Department of Water Resources and Environment, Polytechnic School, Universidade Federal do Rio de Janeiro - UFRJ, Av. Athos da Silveira Ramos, CT - Cidade Universitária, Rio de Janeiro, RJ 21941-590, Brazil |
推荐引用方式 GB/T 7714 | da Silva F.P.,Rotunno Filho O.C.,Justi da Silva M.G.A.,et al. Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio de Janeiro (Brazil)[J],2020,103(3). |
APA | da Silva F.P.,Rotunno Filho O.C.,Justi da Silva M.G.A.,Sampaio R.J.,Pires G.D.,&de Araújo A.A.M..(2020).Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio de Janeiro (Brazil).Natural Hazards,103(3). |
MLA | da Silva F.P.,et al."Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio de Janeiro (Brazil)".Natural Hazards 103.3(2020). |
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